Results 61 to 70 of about 92,904 (292)
SpecRp: A spectral-based community embedding algorithm
Machine Learning with Applications, 2022 Community embeddings are useful in node classification since they allow nodes to aggregate relevant information regarding the network structure. Modularity maximization-based algorithms are the most common approach to detect communities in networks ...
Camila P.S. Tautenhain +1 more
doaj +1 more source
Scalable Robust Graph Embedding with Spark
, 2022 Graph embedding aims at learning a vector-based representation of vertices that incorporates the structure of the graph. This representation then enables inference of graph properties.
Weidlich, Matthias +5 more
core +1 more source
Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
Adaptive JPEG steganography based on distortion cost updating
Tongxin xuebao, 2017 Previous adaptive JPEG steganography algorithms mostly calculate image distortion before secret information embedding,so they can’t dynamically adjust distortion costs.Considering the mutual impacts during embedding,an adaptive JPEG steganography ...
Guang-ming TANG +3 more
doaj +2 more sources
Research on Node Reliability-aware Efficient Virtual Network Embedding Algorithm
工程科学与技术, 2018 In order to solve the problems that traditional virtual network embedding algorithms were inefficient,and the reliability evaluation of physical nodes in substrate network was one-sided which will lead poor reliability of virtual network,a node ...
Yuze SU +3 more
doaj
Enhancing classification performance of multi-class imbalanced data using the OAA-DB algorithm
, 2012 In data classification, the problem of imbalanced class distribution has attracted many attentions. Most efforts have used to investigate the problem mainly for binary classification.
Wong, K.W. +3 more
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Molecular Oncology, EarlyView.BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi +11 more
wiley +1 more source
High capacity reversible hiding in encrypted domain based on cipher-feedback secret sharing
Tongxin xuebao, 2023 To improve the security, robustness and embedding rate of reversible hiding in encrypted domain in the distributed environment, a multiple embedding algorithm based on cipher-feedback secret sharing was proposed.Firstly, the additional data were embedded
Minqing ZHANG +4 more
doaj +2 more sources
MultiplexSAGE:A multiplex embedding algorithm for inter-layer link prediction
, 2023 Research on graph representation learning has received great attention in recent years. However, most of the studies so far have focused on the embedding of single-layer graphs.
Gallo, Luca; id_orcid +2 more
core +2 more sources